Ignacio Rojas

According to our database1, Ignacio Rojas authored at least 244 papers between 1997 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Feature Selection and Assessment of Lung Cancer Sub-types by Applying Predictive Models.
Proceedings of the Advances in Computational Intelligence, 2019

Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows.
Proceedings of the Advances in Computational Intelligence, 2019

2018
Multi-Objective Genetic Algorithms to Find Most Relevant Volumes of the Brain Related to Alzheimer's Disease and Mild Cognitive Impairment.
Int. J. Neural Syst., 2018

Wearable Intelligent System for the Diagnosis of Cardiac Diseases Working in Real Time and with Low Energy Cost.
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

Ubiquitous Assessment of the Recovery of Cancer Patients Using Consumer-Level Activity Trackers.
Proceedings of the 12th International Conference on Ubiquitous Computing and Ambient Intelligence, 2018

Parkinson's Disease Database Analysis of Stereotactic Coordinates Related to Clinical Outcomes.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

2017
Statistical Analysis of the Main Configuration Parameters of the Network Dynamic and Adaptive Radio Protocol (DARP).
Sensors, 2017

Editorial.
Neural Processing Letters, 2017

MIMU-Wear: Ontology-based sensor selection for real-world wearable activity recognition.
Neurocomputing, 2017

Automatic Mapping of Motivational Text Messages into Ontological Entities for Smart Coaching Applications.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017

Ontological modeling of motivational messages for physical activity coaching.
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017

Mobile Health System for Evaluation of Breast Cancer Patients During Treatment and Recovery Phases.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

Deep Learning Using EEG Data in Time and Frequency Domains for Sleep Stage Classification.
Proceedings of the Advances in Computational Intelligence, 2017

Breast Cancer Microarray and RNASeq Data Integration Applied to Classification.
Proceedings of the Advances in Computational Intelligence, 2017

Combination of EEG Data Time and Frequency Representations in Deep Networks for Sleep Stage Classification.
Proceedings of the Intelligent Computing Theories and Application, 2017

The non-singleton fuzzification operation for general forms of interval type-2 fuzzy logic systems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Join and Meet Operations for Type-2 Fuzzy Sets With Nonconvex Secondary Memberships.
IEEE Trans. Fuzzy Systems, 2016

Ontology-Based High-Level Context Inference for Human Behavior Identification.
Sensors, 2016

Neural networks: An overview of early research, current frameworks and new challenges.
Neurocomputing, 2016

Decision Support System to Determine Intention to Use Mobile Payment Systems on Social Networks: A Methodological Analysis.
Int. J. Intell. Syst., 2016

Towards a Framework for Singleton General Forms of Interval Type-2 Fuzzy Systems.
Proceedings of the Fuzzy Logic and Soft Computing Applications, 2016

Fine-Tuning the DARP Wireless Sensor Routing Protocol.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2016

Towards general forms of interval type-2 fuzzy logic systems.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Special issue on advances in computational intelligence and machine learning (IWANN 2013).
Soft Comput., 2015

mDurance: A Novel Mobile Health System to Support Trunk Endurance Assessment.
Sensors, 2015

Advances in Artificial Neural Networks and Computational Intelligence - Special Issue of IWANN 2013.
Neural Processing Letters, 2015

Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition.
Neural Processing Letters, 2015

Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments.
Neurocomputing, 2015

An Ontology for Dynamic Sensor Selection in Wearable Activity Recognition.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015

Ontological Sensor Selection for Wearable Activity Recognition.
Proceedings of the Advances in Computational Intelligence, 2015

Modeling the EUR/USD Index Using LS-SVM and Performing Variable Selection.
Proceedings of the Advances in Computational Intelligence, 2015

Performing Variable Selection by Multiobjective Criterion: An Application to Mobile Payment.
Proceedings of the Advances in Computational Intelligence, 2015

Multiwindow Fusion for Wearable Activity Recognition.
Proceedings of the Advances in Computational Intelligence, 2015

High-Level Context Inference for Human Behavior Identification.
Proceedings of the Ambient Assisted Living. ICT-Based Solutions in Real Life Situations, 2015

On the Development of a Real-Time Multi-sensor Activity Recognition System.
Proceedings of the Ambient Assisted Living. ICT-Based Solutions in Real Life Situations, 2015

Facilitating trunk endurance assessment by means of mobile health technologies.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

Integrative gene expression analysis of lung cancer based on a technology-merging approach.
Proceedings of the IEEE EUROCON 2015, 2015

2014
Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition.
Sensors, 2014

Window Size Impact in Human Activity Recognition.
Sensors, 2014

A New Adaptive and Self Organizing Fuzzy Policy to Enhance the Real Time Control Performance.
Int. J. Comput. Intell. Syst., 2014

Fast Feature Selection in a GPU Cluster Using the Delta Test.
Entropy, 2014

Development of Soft-Computing techniques capable of diagnosing Alzheimers Disease in its pre-clinical stage combining MRI and FDG-PET images.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Advances in bioinformatics using soft-computing paradigms.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Evaluating the effects of signal segmentation on activity recognition.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications.
Proceedings of the Ambient Assisted Living and Daily Activities, 2014

Creation of a Database Including a Set of Biological Features Related to Protein Sequences and Their Corresponding Alignment.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
Multiobjective Optimization and Comparison of Nonsingleton Type-1 and Singleton Interval Type-2 Fuzzy Logic Systems.
IEEE Trans. Fuzzy Systems, 2013

Advances in computational intelligence.
Soft Comput., 2013

Preface.
Neural Processing Letters, 2013

New Online Self-Evolving Neuro Fuzzy controller based on the TaSe-NF model.
Inf. Sci., 2013

An effective, practical and low computational cost framework for the integration of heterogeneous data to predict functional associations between proteins by means of Artificial Neural Networks.
Neurocomputing, 2013

Simulation of a New Self-Structured Fuzzy Controller Applied to a Temperature Control Process.
IJAEC, 2013

Using cited references to improve the retrieval of related biomedical documents.
BMC Bioinformatics, 2013

Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns.
Bioinformatics, 2013

Innovative Strategy to Improve Precision and to Save Power of a Real-Time Control Process Using an Online Adaptive Fuzzy Logic Controller.
Adv. Fuzzy Systems, 2013

Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Classification of MRI Images for Alzheimer's Disease Detection.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

Optimal Knots Allocation in Smoothing Splines using intelligent system. Application in bio-medical signal processing. .
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological features.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

PhysioDroid: an app for physiological data monitoring.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013

Evaluating Multiple Sequence Alignments Using a LS-SVM Approach with a Heterogeneous Set of Biological Features.
Proceedings of the Advances in Computational Intelligence, 2013

Parametric and Non-parametric Feature Selection for Kidney Transplants.
Proceedings of the Advances in Computational Intelligence, 2013

A New Method for BCI Spelling Using a 7 Segments Display.
Proceedings of the Advances in Computational Intelligence, 2013

Activity Recognition Based on a Multi-sensor Meta-classifier.
Proceedings of the Advances in Computational Intelligence, 2013

Handling Displacement Effects in On-Body Sensor-Based Activity Recognition.
Proceedings of the Ambient Assisted Living and Active Aging, 2013

Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECG.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

Color Fuzzy Set Design for dental applications.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

Automatic knot adjustment for b-spline smoothing approximation using improved clustering algorithm.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator.
Proceedings of the Parallel Architectures and Bioinspired Algorithms, 2012

On the Use of Sensor Fusion to Reduce the Impact of Rotational and Additive Noise in Human Activity Recognition.
Sensors, 2012

A deterministic model selection scheme for incremental RBFNN construction in time series forecasting.
Neural Computing and Applications, 2012

An enhanced clustering function approximation technique for a radial basis function neural network.
Mathematical and Computer Modelling, 2012

Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology.
J. Applied Mathematics, 2012

Daily living activity recognition based on statistical feature quality group selection.
Expert Syst. Appl., 2012

Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification.
Comp. in Bio. and Med., 2012

Evaluating Fluorescence Illumination Techniques for Skin Lesion Diagnosis.
Applied Artificial Intelligence, 2012

Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities.
Proceedings of the 16th International Symposium on Wearable Computers, 2012

Applying Multi-objective Optimization for Variable Selection to Analyze User Trust in Electronic Banking.
Proceedings of the Management Intelligent Systems - First International Symposium, 2012

Advanced systems in medical decision-making using intelligent computing. Application to magnetic resonance imaging.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A benchmark dataset to evaluate sensor displacement in activity recognition.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Self-evolving parameter-free Rule-based Controller.
Proceedings of the FUZZ-IEEE 2012, 2012

Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Accelerating network applications by distributed interfaces on heterogeneous multiprocessor architectures.
The Journal of Supercomputing, 2011

Improving IPS by network processors.
The Journal of Supercomputing, 2011

A New Methodology for the Online Adaptation of Fuzzy Self-Structuring Controllers.
IEEE Trans. Fuzzy Systems, 2011

Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection.
Neurocomputing, 2011

Global and local modelling in RBF networks.
Neurocomputing, 2011

Generating Balanced Learning and Test Sets for Function Approximation Problems.
Int. J. Neural Syst., 2011

The TaSe-NF model for function approximation problems: Approaching local and global modelling.
Fuzzy Sets and Systems, 2011

On comparing non-singleton type-1 and singleton type-2 fuzzy controllers for a nonlinear servo system.
Proceedings of the 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2011

Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011

Emerging Methodologies in Multiple Sequence Alignment Using High Throughput Data.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011

Variable Selection in a GPU Cluster Using Delta Test.
Proceedings of the Advances in Computational Intelligence, 2011

Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural Network.
Proceedings of the Advances in Computational Intelligence, 2011

Automatic Recognition of Daily Living Activities Based on a Hierarchical Classifier.
Proceedings of the Advances in Computational Intelligence, 2011

Recognition of human physical activity based on a novel hierarchical weighted classification scheme.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A New Methotology for Adaptive Fuzzy Controller. Comparison Performance against Several Control Algorithms in a Real Time Control Process.
Proceedings of the ECTA and FCTA 2011, 2011

2010
Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks.
Neural Computing and Applications, 2010

Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling.
Neurocomputing, 2010

New method for instance or prototype selection using mutual information in time series prediction.
Neurocomputing, 2010

Local-global neuro-fuzzy system for color change modelling.
Int. J. Hybrid Intell. Syst., 2010

Online self-evolving fuzzy controller with global learning capabilities.
Evolving Systems, 2010

Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem.
Expert Syst. Appl., 2010

Applying support vector machines and mutual information to book losses prediction.
Proceedings of the International Joint Conference on Neural Networks, 2010

Predicting marital dissolutions using radial basis function neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2010

Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips.
Proceedings of the International Joint Conference on Neural Networks, 2010

Ambient living activity recognition based on feature-set ranking using intelligent systems.
Proceedings of the International Joint Conference on Neural Networks, 2010

Analysis of the Inducing Factors Involved in Stem Cell Differentiation Using Feature Selection Techniques, Support Vector Machines and Decision Trees.
Proceedings of the Trends in Applied Intelligent Systems, 2010

An Algorithm for Online Self-organization of Fuzzy Controllers.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Novel Method for Feature-Set Ranking Applied to Physical Activity Recognition.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Online self-organizing adaptive fuzzy controller: Application to a nonlinear servo system.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Intelligent Classifier for Atrial Fibrillation (ECG).
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems.
Neurocomputing, 2009

Prediction of Time Series Using RBF Neural Networks: A New Approach of Clustering.
Int. Arab J. Inf. Technol., 2009

Intelligent System Based on Genetic Programming for Atrial Fibrillation Classification.
Applied Artificial Intelligence, 2009

Assessing the Performance of an Offloaded IDS on Network Processors.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2009

A Multi-Threaded Network Interface Using Network Processors.
Proceedings of the 17th Euromicro International Conference on Parallel, 2009

Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Applications in Bio-informatics and Biomedical Engineering.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Creation of Specific-to-Problem Kernel Functions for Function Approximation.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Global and Local Modelling in Radial Basis Functions Networks.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Efficient Parallel Feature Selection for Steganography Problems.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

On Selecting the Best Pre-processing Method for Affymetrix Genechips.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

A Data Mining Approach Based on a Local-Global Fuzzy Modelling for Prediction of Color Change after Tooth Bleaching Using Vita Classical Shades.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection.
Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009

Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab.
Proceedings of the 2009 International Conference on High Performance Computing & Simulation, 2009

Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error.
Proceedings of the Artificial Neural Networks, 2009

Strengthening the Forward Variable Selection Stopping Criterion.
Proceedings of the Artificial Neural Networks, 2009

Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems.
Proceedings of the Artificial Neural Networks, 2009

Applying Mutual Information for Prototype or Instance Selection in Regression Problems.
Proceedings of the ESANN 2009, 2009

2008
Studying possibility in a clustering algorithm for RBFNN design for function approximation.
Neural Computing and Applications, 2008

Soft-computing techniques and ARMA model for time series prediction.
Neurocomputing, 2008

Minimising the delta test for variable selection in regression problems.
IJHPSA, 2008

Hybridization of intelligent techniques and ARIMA models for time series prediction.
Fuzzy Sets and Systems, 2008

2007
Guest Editorial Genetic Fuzzy Systems: What's Next? An Introduction to the Special Section.
IEEE Trans. Fuzzy Systems, 2007

A new hybrid methodology for cooperative-coevolutionary optimization of radial basis function networks.
Soft Comput., 2007

Output value-based initialization for radial basis function neural networks.
Neural Processing Letters, 2007

Recursive prediction for long term time series forecasting using advanced models.
Neurocomputing, 2007

Multigrid-based fuzzy systems for time series prediction: CATS competition.
Neurocomputing, 2007

Using fuzzy logic to improve a clustering technique for function approximation.
Neurocomputing, 2007

Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms.
Int. J. Approx. Reasoning, 2007

A First Approach to Birth Weight Prediction Using RBFNNs.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Kernel Methods Applied to Time Series Forecasting.
Proceedings of the Computational and Ambient Intelligence, 2007

CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm.
Proceedings of the Computational and Ambient Intelligence, 2007

Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems.
Proceedings of the Computational and Ambient Intelligence, 2007

Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

On Incorporating Seasonal Information on Recursive Time Series Predictors.
Proceedings of the Artificial Neural Networks, 2007

A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application.
Proceedings of the FUZZ-IEEE 2007, 2007

A Genetic Programming Approach for Classification of the Spontaneous Termination of Atrial Fibrillation.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

2006
Multi-objective evolution of fuzzy systems.
Soft Comput., 2006

Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time.
Fuzzy Sets and Systems, 2006

A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems.
Proceedings of the International Joint Conference on Neural Networks, 2006

Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Skin Lesion Diagnosis Using Fluorescence Images.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

Effective Input Variable Selection for Function Approximation.
Proceedings of the Artificial Neural Networks, 2006

Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy.
Fuzzy Sets and Systems, 2005

Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model.
Proceedings of the Rough Sets, 2005

A Possibilistic Approach to RBFN Centers Initialization.
Proceedings of the Rough Sets, 2005

A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Regression in 1D and 2D Cases.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Application of ANOVA to a Cooperative-Coevolutionary Optimization of RBFNs.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

TaSe Model for Long Term Time Series Forecasting.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Input Variable Selection in Hierarchical RBF Networks.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network.
Proceedings of the ESANN 2005, 2005

Analysis of contrast functions in a genetic algorithm for post-nonlinear blind source separation.
Proceedings of the ESANN 2005, 2005

New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004
Blind source separation in post-nonlinear mixtures using competitive learning, Simulated annealing, and a genetic algorithm.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2004

Online global learning in direct fuzzy controllers.
IEEE Trans. Fuzzy Systems, 2004

The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

MultiGrid-Based Fuzzy Systems for Function Approximation.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

Plugging an Histogram-Based Contrast Function on a Genetic Algorithm for Solving PostNonLinear-BSS.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Geometrical ICA-Based Method for Blind Separation of Super-Gaussian Signals.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Fine control of monotonic systems using a global self-learning adaptive fuzzy controller.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Soft-computing techniques for time series forecasting.
Proceedings of the ESANN 2004, 2004

MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality.
Proceedings of the ESANN 2004, 2004

Lattice ICA for the separation of speech signals.
Proceedings of the ESANN 2004, 2004

2003
Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation.
IEEE Trans. Neural Networks, 2003

Evolving two-dimensional fuzzy systems.
Fuzzy Sets and Systems, 2003

Statistical Analysis of the Different Operator Involved in the Fuzzy Inference Process.
Proceedings of the Fuzzy Logic and Applications, 5th International Workshop, 2003

Sequential Learning Algorithm of Neural Networks Systems for Time Series.
Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003

An Independent Component Analysis Evolution Based Method for Nonlinear Speech Processing.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Evolutionary Algorithm Using Mutual Information for Independent Component Analysis.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

A New Geometrical ICA-based Method for Blind Separation of Speech Signals.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Co-evolutionary Algorithm for RBF by Self-Organizing Population of Neurons.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Studying the Convergence of the CFA Algorithm.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Skin Lesions Diagnosis Based on Fluorescence Image Processing: Simple Parameters Scanning.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

Analysis of the Functional Block and Operator Involved in Fuzzy System Design.
Proceedings of the Current Topics in Artificial Intelligence, 2003

The Synergy of GA and Fuzzy Systems for Multidimensional Problem: Application to Time Series Prediction.
Proceedings of the Current Topics in Artificial Intelligence, 2003

2002
Statistical analysis of the main parameters involved in the design of a genetic algorithm.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2002

Web newspaper layout optimization using simulated annealing.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2002

Statistical analysis of the parameters of a neuro-genetic algorithm.
IEEE Trans. Neural Networks, 2002

A new clustering technique for function approximation.
IEEE Trans. Neural Networks, 2002

Structure identification in complete rule-based fuzzy systems.
IEEE Trans. Fuzzy Systems, 2002

Time series analysis using normalized PG-RBF network with regression weights.
Neurocomputing, 2002

A two-stage approach to self-learning direct fuzzy controllers.
Int. J. Approx. Reasoning, 2002

Evolutive Identification of Fuzzy Systems for Time-Series Prediction.
Proceedings of the Parallel Problem Solving from Nature, 2002

SSA, SVD, QR-cp, and RBF Model Reduction.
Proceedings of the Artificial Neural Networks, 2002

Evolutionary Training of Neuro-fuzzy Patches for Function Approximation.
Proceedings of the Artificial Neural Networks, 2002

Neural Networks, Clustering Techniques, and Function Approximation Problems.
Proceedings of the Artificial Neural Networks, 2002

New Methodology for Structure Identification of Fuzzy Controllers in Real Time.
Proceedings of the Advances in Artificial Intelligence, 2002

2001
A Quantitative Study of Fault Tolerance, Noise Immunity, and Generalization Ability of MLPs.
Neural Computation, 2001

Multidimensional and multideme genetic algorithms for the construction of fuzzy systems.
Int. J. Approx. Reasoning, 2001

Optimization of web newspaper layout in real time.
Computer Networks, 2001

Separation of Sources Based on the Partitioning of the Space of Observations.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Optimizing RBF Networks with Cooperative/Competitive Evolution of Units and Fuzzy Rules.
Proceedings of the Connectionist Models of Neurons, 2001

A Novel Approach to Self-Adaptation of Neuro-fuzzy Controllers in Real Time.
Proceedings of the Connectionist Models of Neurons, 2001

Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks.
Proceedings of the Connectionist Models of Neurons, 2001

RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting.
Proceedings of the Connectionist Models of Neurons, 2001

Multideme Evolution algorithm Based Approach to the Generation of Fuzzy Systems.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

A New Sequential Learning Algorithm Using Pseudo-gaussian Functions for Neuro-fuzzy Systems.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

A Method for Structure Identification in Complete Rule-based Fuzzy Systems.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

Fine Tuning of Fuzzy of Fuzzy Controllers Using a Two-stage Algorithm.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

An Enhanced Self-organizing Controller for Real-time Process-control Applications.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

The synergy between multideme genetic algorithms and fuzzy systems.
Proceedings of the ESANN 2001, 2001

A stochastic and competitive network for the separation of sources.
Proceedings of the ESANN 2001, 2001

2000
A systematic approach to a self-generating fuzzy rule-table for function approximation.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2000

Self-organized fuzzy system generation from training examples.
IEEE Trans. Fuzzy Systems, 2000

Competitive and Temporal Inhibition Structures with Spiking Neurons.
Neural Processing Letters, 2000

Analysis of the Functional Block Involved in the Design of Radial Basis Function Networks.
Neural Processing Letters, 2000

Obtaining Fault Tolerant Multilayer Perceptrons Using an Explicit Regularization.
Neural Processing Letters, 2000

Improving the tolerance of multilayer perceptrons by minimizing the statistical sensitivity to weight deviations.
Neurocomputing, 2000

Short-Term Prediction of Chaotic Time Series by Using RBF Network with Regression Weights.
Int. J. Neural Syst., 2000

A New Radial Basis Function Networks Structure: Application to Time Series Prediction.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

What are the Main Functional Block Involved in the Design of Adaptive Neuro-Fuzzy Inference Systems?
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
An Accurate Measure for Multilayer Perceptron Tolerance to Weight Deviations.
Neural Processing Letters, 1999

Stimulus Correlation and Adaptive Motion Detection Using Spiking Neurons.
Int. J. Neural Syst., 1999

A New Measurement of Noise Immunity and Generalization Ability for MLPs.
Int. J. Neural Syst., 1999

New methodology for the development of adaptive and self-learning fuzzy controllers in real time.
Int. J. Approx. Reasoning, 1999

Statistical analysis of the main parameters in the fuzzy inference process.
Fuzzy Sets and Systems, 1999

A VLSI Approach for Spike Timing Coding.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Sequential Learning Algorithm for PG-RBF Network Using Regression Weights for Time Series Prediction.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

An Accurate Measure for Multilayer Perception Tolerance to Additive Weight Deviations.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

1998
Parallel Coarse Grain Computing of Boltzmann Machines.
Neural Processing Letters, 1998

Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference process.
Int. J. Approx. Reasoning, 1998

What are the main factors involved in the design of a Radial Basis Function Network?
Proceedings of the ESANN 1998, 1998

1997
Statistical Analysis of the Main Parameters in the Definition of Radial Bases Function Networks.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997


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